Chal_stack_tech✨

ባይናንስ በኢትዮጵያ ብር የሚደረጉ የክሪፕቶ ምንዛሬ ግብይቶችን ሊያቆም ነው። የክሪፕቶ ምንዛሬ ግብይት መድረክ የሆነው ባይናንስ (Binance)፣ ከግንቦት 7 ቀን 2018 ዓ.ም ጀምሮ በኢትዮጵያ ብር የሚደረጉ የክሪፕቶ ግብይቶችን (P2P Trading) እንደሚያቆም አስታወቀ። ባይናንስ አፍሪካ በኤክስ ማህበራዊ ገጹ ባወጣው መረጃ፣ ውሳኔው ከሀገሪቱ ተቆጣጣሪ አካላት ጋር በቅርበት ለመስራትና የኢትዮጵያን ግቦች ለመደገፍ ታሳቢ ተደርጎ የተወሰነ መሆኑን ገልጿል። የተጠቃሚዎች ገንዘብ ግን ደኅንነቱ የተጠበቀ መሆኑንና አካውንታቸውን መጠቀም እንደሚችሉ ተቋሙ አረጋግጧል። የኢትዮጵያ ብሔራዊ ባንክ ከሁለት ወራት በፊት በብር የሚደረጉ የክሪፕቶ (P2P) ግብይቶች ሕገ-ወጥ መሆናቸውንና የተከለከሉ መሆናቸውን በመጥቀስ ጥብቅ ማሳሰቢያ መስጠቱን ይታወሳል። ባንኩ የካቲት 20 ቀን 2018 ዓ.ም ባወጣው መግለጫ፣ በማንኛውም መድረክ ሆነ የልውውጥ ማዕከል በብር የሚደረጉ የዲጂታል ሀብት ግብይቶች ያለ ባንኩ ፈቃድ በፍጹም የተከለከሉ መሆናቸውን አስታውቆ ነበር። እገዳው ማንኛውንም በብር የሚሰላ የክሪፕቶ ከረንሲ ልውውጥን የሚያካትት መሆኑ በመግለጫው ላይ ተጠቅሷል። ብሔራዊ ባንክ በአሁኑ ወቅት ደህንነቱ የተጠበቀ እና ሥርዓት ያለው የዲጂታል ፋይናንስ ተሳትፎ እንዲኖር የሚያስችል አጠቃላይ የቁጥጥር ማዕቀፍ ለማዘጋጀት ከዓለም አቀፍ አቻ ተቆጣጣሪዎችና ከአገር ውስጥ ባለድርሻ አካላት ጋር እየመከረ መሆኑን መግለጹም ይታወሳል። ባይናንስ ዛሬ ባወጣው መግለጫም ሁኔታዎች ሲመቻቹ በኢትዮጵያ ብር ግብይቱን በድጋሚ ለመጀመር ተስፋ እንደሚያደርግ ገልጿል። ቲክቫህ ኢትዮጵያ ሚያዚያ 22 ቀን 2018 ዓ/ም Via @TikvahethMagazine

✨ Founder Spotlight: Ariya Chen - Founder & Full‑Stack Dev From idea to product: how she built an exam prep app used by 30k students. Quick bio - 7 years in web & mobile - Built OpenQuiz - spaced-repetition + micro-challenges 3 career tips - Master fundamentals, not just frameworks - Ship small projects weekly - Give back to communities - mentorship matters Project highlight - Stack: React Native, Firebase, serverless functions Which would you like next: a breakdown of her app architecture or the full interview? Tell us below 👇 #founderspotlight #devtips #buildinpublic 📢 Made with Inside

⚠️ Udemy platform hacked: data of 1.4 million users leaked online! On April 24, the ShinyHunters group announced that they had gained access to more than 1.4 million accounts on the Udemy platform. They directly contacted the company with a clear message: “Pay or leak.” They gave a deadline until April 27. What happened next❓ Udemy refused to pay the hackers. As a result, the ShinyHunters group leaked all the data online yesterday. The leaked data includes information about both users and instructors, such as: * Registered name * Email address * Phone number * Home address * Job information * Company * Payment methods * Payment details If you have an account on Udemy, change your password immediately, enable 2FA (Two-Factor Authentication), and keep an eye out for any notifications from Udemy.

Architecture breakdowns made simple - real examples + trade-offs I’ll post concise system-design guides with diagrams, real-world examples, and clear trade-offs for beginners→intermediate. Next topics: - Monolith vs Microservices - scaling & cost - CQRS/Event Sourcing - complexity vs consistency - Serverless vs Containers - ops burden vs latency Each post: diagram, step-by-step build, failure modes, mitigation. Which system should I dissect first? Reply with your pick! 🚀 #Architecture #SystemDesign #microservices #serverless #devops #programming #PreXamTech 📢 Made with Inside

New ML model drops - what it means for developers Big model releases shift three things for your projects: - Benchmarks: Look beyond headline numbers. Check task-specific scores and latency. - APIs: New agentic features can simplify workflows but change integration patterns. - Costs: Higher accuracy often comes with higher per-token or per-call pricing - plan budgets and fallbacks. Quick tip: run a small PoC comparing latency, cost, and output quality before switching. Which factor matters most for your next project? @chalstack_tech #AI #ML #developers #APIs #benchmarks 📢 Made with Inside

Machine Learning Algorithm: 1. Linear Regression:    - Imagine drawing a straight line on a graph to show the relationship between two things, like how the height of a plant might relate to the amount of sunlight it gets. 2. Decision Trees:    - Think of a game where you have to answer yes or no questions to find an object. It's like a flowchart helping you decide what the object is based on your answers. 3. Random Forest:    - Picture a group of friends making decisions together. Random Forest is like combining the opinions of many friends to make a more reliable decision. 4. Support Vector Machines (SVM):    - Imagine drawing a line to separate different types of things, like putting all red balls on one side and blue balls on the other, with the line in between them. 5. k-Nearest Neighbors (kNN):    - Pretend you have a collection of toys, and you want to find out which toys are similar to a new one. kNN is like asking your friends which toys are closest in looks to the new one. 6. Naive Bayes:    - Think of a detective trying to solve a mystery. Naive Bayes is like the detective making guesses based on the probability of certain clues leading to the culprit. 7. K-Means Clustering:    - Imagine sorting your toys into different groups based on their similarities, like putting all the cars in one group and all the dolls in another. 8. Hierarchical Clustering:    - Picture organizing your toys into groups, and then those groups into bigger groups. It's like creating a family tree for your toys based on their similarities. 9. Principal Component Analysis (PCA):    - Suppose you have many different measurements for your toys, and PCA helps you find the most important ones to understand and compare them easily. 10. Neural Networks (Deep Learning):     - Think of a robot brain with lots of interconnected parts. Each part helps the robot understand different aspects of things, like recognizing shapes or colors. 11. Gradient Boosting algorithms:     - Imagine you are trying to reach the top of a hill, and each time you take a step, you learn from the mistakes of the previous step to get closer to the summit. XGBoost and LightGBM are like smart ways of learning from those steps.

◾️ከጌታ ከተሰጡን መልካም ስጦታዎች አንዱ ማለዳ ነው። ማለዳ ምህረት ነው። ጠዋት ከፈጣሪ በየቀኑ ተጽፎ የሚሰጠን የይቅርታ ጥቅልል ብራና ነው። ማልዶ ሰማይ ወገግ ሲልም የብራናው ጥቅልል ይፈታል። ብራናው ላይ የተጻፈው መልዕክትም እንዲህ ይነበባል ፦ ሁሉ አዲስ ነው። የትላንትን ድካም ተውና ፣ ወድቀትህን እርሳና አዲስ የስኬት መንገድ ጀምር ! ያለ ይሉኝታ ሰውን ሁሉ አፍቅር ! በእምነት ተመላለስ ! ሁሉንም ይቅር በል ! አይዞህ ! ፈ . . .ገግ በል !" __ @Enmare1988 @Enmare1988

Curated mini‑guides: quick learning paths for beginners Ready to learn with a clear roadmap? Pick one and follow the steps below. 👇 - Web Dev Roadmap - HTML → CSS → JavaScript → React/Vue → hosting. - Data Science Starter - Python → pandas → visualization → ML basics. - DevOps Essentials - Git → Docker → CI/CD → cloud fundamentals. - Interview Prep - DS & Algo basics → system design intro → mock interviews. Each guide includes hands‑on projects, cheat sheets, and curated resources. Want the full guide for one path? Reply with which one and I’ll post it. 🚀 #programming #roadmap #learncoding @chalstack_tech 📢 Made with Inside

Boost Your Tech Career: Quick Wins Small, practical tips for resumes, interviews, and salary talks - for beginner to mid-level devs. Resume - Keep it 1 page; show impact with numbers. - List core tech + proficiency. - Link 1–2 polished projects & repo. Interview - Practice DS & system basics. - Use STAR for behavioral answers. - Prepare smart questions to ask. Salary - Research market rates. - Give a realistic range; justify with impact. - Consider total comp & growth. Which area should I make a template for first? Reply: Resume, Interview, or Salary? 🔽 #CareerTips #DevCareer #Resume #Interview #Salary 📢 Made with Inside

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

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هل تعلم أن 72 ساعة قبل عرض الحلقة 29 كشفنا مفاجأة واحدة قلبت مجرى الأحداث… هل تريد أن تعرفها الآن؟ لا تفوت المشاهدة شاهد الإعلان الكامل والحلقة مبكراً هنا: شاهد الحلقة 29 - احساس آمن وتجربة مشاهدة مريحة ومباشرة. #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

🚀 Quick coding tips & one-line tricks - Python, JS, SQL Python - Read file to list: lines = open('file.txt').read().splitlines() - Swap vars: a, b = b, a - Unique preserving order: seen=set(); uniq=[x for x in arr if not (x in seen or seen.add(x))] JavaScript - Optional chain: const city = user?.address?.city - Default assign: obj.prop ||= 'default' - Flatten: const flat = arr.flat() SQL - Safe divide: SELECT a/NULLIF(b,0) AS ratio; - Upsert (Postgres): INSERT ... ON CONFLICT (id) DO UPDATE SET col=EXCLUDED.col; Try one in your project - which language should I expand on? 📢 Made with Inside

We already have this channel, but I can feel the growth has been slower than it should be. I’m using the next 90 days to make PreXam Tech a place where programming actually feels clear and doable-whether you’re starting from the basics or you’ve been coding for a while. The goal is simple: push from “almost no growth” toward our first real 1–10K subscriber milestone, while keeping the content genuinely useful and honest. If you’re here to learn, build, and get better with me-stay close. In 90 days, I’ll come back and share what changed and what results we got. 📢 Made with Inside

🚨OpenAI officially releases new ChatGPT AI model GPT-5.5 The new model tops the benchmarks against its main rivals, Claude Opus 4.7 and Google's Gemini 3.1 Pro, even outperforming GPT-5.4 Pro in some areas. The model is built for agentic tasks and ease of use: GPT-5.5 figures out what you're trying to do and handles most of the work on its own. 💰 Paid ChatGPT subscribers are already getting access, but the API price is twice that of GPT-5.4: $5/$30 per 1M input/output tokens. Is the price worth it?

🤖 Meta Builds AI Version of Mark Zuckerberg to Interact with Staff The project has become one of the company's priorities, and Zuckerberg himself is personally involved in training his photorealistic digital copy. The avatar is being trained on the founder's mannerisms, tone, and public statements, as well as his more recent thinking on company strategy, so that employees might feel more connected to the founder through interactions with it. 💼 At the same time, the company is also building a "CEO agent" that will help Zuckerberg run the corporation. 💡 According to sources, Mark Zuckerberg is deeply involved in Meta's AI projects and personally spends 5-10 hours a week coding and taking part in technical reviews.

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

90% of WhatsApp setups fail within 48 hours - here’s the exact 3-step tweak that stops bans cold… but I’ll only reveal step 3 in the channel. Ready to keep your USA numbers working? Act fast: reduced prices + VPN checklist inside. Join Sollosms #ad 📢 InsideAd

Vercel Hacked via Third-Party AI Tool Cloud platform Vercel confirmed a security breach after hackers gained unauthorized access to internal systems and stole data, including employee names, emails, and activity logs. The group ShinyHunters claimed responsibility and began posting stolen data online. The attack didn’t come directly through Vercel itself. It originated from a compromised third-party AI tool connected via Google Workspace OAuth, part of a broader supply-chain style hack affecting multiple organizations. Vercel says only a limited subset of customers was impacted, but advised users to rotate API keys and monitor logs. The incident highlights a growing risk: AI integrations are becoming a new entry point for large-scale cyberattacks.